<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krzysztof Gorgolewski</style></author><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Konrad Miazga</style></author><author><style face="normal" font="default" size="100%">Krzysztof Rosinski</style></author><author><style face="normal" font="default" size="100%">Paweł Rychły</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Properties of movement of 3D agents</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/PropertiesOfMovementOf3DAgents.pdf</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">RA-1/2019</style></number><publisher><style face="normal" font="default" size="100%">Poznan University of Technology, Institute of Computing Science</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Krzysztof Rosinski</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimating similarity of neural network dynamics</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/SimilarityNeuralNetworkDynamics.pdf</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">RA-10/10</style></number><publisher><style face="normal" font="default" size="100%">Poznan University of Technology, Institute of Computing Science</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This report concerns estimation of the similarity between neural networks of any topology. Motivations and benefits of having an automated and quantitative network comparison mechanism are presented. The concept of neural network dynamics (neuron output signal) is considered. A measure is proposed for estimating similarity of active (i.e., working) neural networks. Properties of the measure are analyzed theoretically and verified empirically. The experiments have been performed on a set of evolved networks responsible for controlling 3D structures (agents, robots). These experiments demonstrate the capabilities and the limitations of the proposed measure as a mechanism to support humans in analyzing large sets of neural networks.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Adam Rotaru-Varga</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of different genotype encodings for simulated 3D agents</style></title><secondary-title><style face="normal" font="default" size="100%">Artificial Life Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agents</style></keyword><keyword><style  face="normal" font="default" size="100%">AL</style></keyword><keyword><style  face="normal" font="default" size="100%">Body and Brain evol.</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Theory</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Fall</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/ComparisonGeneticEncodings3DAgents.pdf</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">4</style></number><publisher><style face="normal" font="default" size="100%">MIT Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Cambridge, MA</style></pub-location><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">395–418</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper analyzes the effect of different genetic encodings used for evolving 3D agents with physical morphologies. The complex phenotypes used in such systems often require nontrivial encodings. Different encodings used in Framsticks - a system for evolving 3D agents - are presented. These include a low-level direct mapping and two higher-level encodings: a recurrent and a developmental one. Quantitative results are presented from three simple optimization tasks (active height, passive height, and locomotion speed). The low-level encoding produced solutions of lower fitness than the two higher-level encodings under similar conditions. Results from recurrent and developmental encodings had similar fitness values but displayed qualitative differences. Desirable advantages and some drawbacks of more complex encodings are established.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Adam Rotaru-Varga</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Mark A. Bedau</style></author><author><style face="normal" font="default" size="100%">John S. McCaskill</style></author><author><style face="normal" font="default" size="100%">Norman H. Packard</style></author><author><style face="normal" font="default" size="100%">Steen Rasmussen</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">From Directed to Open-Ended Evolution in a Complex Simulation Model</style></title><secondary-title><style face="normal" font="default" size="100%">Artificial Life VII</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agents</style></keyword><keyword><style  face="normal" font="default" size="100%">AL</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Theory</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2000</style></year></dates><publisher><style face="normal" font="default" size="100%">MIT Press</style></publisher><pages><style face="normal" font="default" size="100%">293–299</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Szymon Ulatowski</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">C. Nédellec</style></author><author><style face="normal" font="default" size="100%">C. Rouveirol</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Framsticks – Artificial Life</style></title><secondary-title><style face="normal" font="default" size="100%">ECML 98 Demonstration and Poster Papers</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agents</style></keyword><keyword><style  face="normal" font="default" size="100%">AL</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1998</style></year></dates><publisher><style face="normal" font="default" size="100%">Chemnitzer Informatik-Berichte</style></publisher><pub-location><style face="normal" font="default" size="100%">Chemnitz</style></pub-location><pages><style face="normal" font="default" size="100%">7–9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>